Cox regression for current status data with mismeasured covariates
From MaRDI portal
Publication:3019144
DOI10.1002/cjs.10092zbMath1349.62489OpenAlexW1984979902MaRDI QIDQ3019144
Steve Y. H. Huang, Chi-Chung Wen, Yau-Hung Chen
Publication date: 27 July 2011
Published in: Canadian Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/cjs.10092
Asymptotic properties of nonparametric inference (62G20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Estimation in survival analysis and censored data (62N02) Reliability and life testing (62N05)
Related Items (3)
Cox regression for mixed case interval-censored data with covariate errors ⋮ A functional inference for multivariate current status data with mismeasured covariate ⋮ Conditional Score Approach to Errors-in-Variable Current Status Data Under the Proportional Odds Model
Cites Work
- Unnamed Item
- Unnamed Item
- Linear Mixed Models with Flexible Distributions of Random Effects for Longitudinal Data
- Semi-Nonparametric Maximum Likelihood Estimation
- Observed information in semi-parametric models
- Efficient estimation for the proportional hazards model with interval censoring
- Weak convergence and empirical processes. With applications to statistics
- The statistical analysis of interval-censored failure time data.
- A semiparametric estimator for the proportional hazards model with longitudinal covariates measured with error
- Semiparametric linear transformation models for current status data
- A Semiparametric Likelihood Approach to Joint Modeling of Longitudinal and Time-to-Event Data
- A Semiparametric Proportional Odds Regression Model for the Analysis of Current Status Data
- An Empirical Distribution Function for Sampling with Incomplete Information
- Analysis of panel count data with measurement errors in the covariates
- The Analysis of Panel Data Under a Markov Assumption
- Additive hazards regression with current status data
- Asymptotic Statistics
- A Hybrid Algorithm for Computation of the Nonparametric Maximum Likelihood Estimator From Censored Data
- Efficient estimation in additive hazards regression with current status data
- On Profile Likelihood
- A semiparametric pseudolikelihood estimation method for panel count data
- Estimating the Parameters in the Cox Model When Covariate Variables are Measured with Error
- Measurement Error in Nonlinear Models
- On the accelerated failure time model for current status and interval censored data
- On Corrected Score Approach for Proportional Hazards Model with Covariate Measurement Error
This page was built for publication: Cox regression for current status data with mismeasured covariates
